Principal Business Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead interactions with business leaders and team members to clarify requirements and establish business needs for strategic data utilization; proactively identify and suggest opportunities for analysis and exploration that enhance business optimization and decision-making.

• Conduct data exploration, analysis, and statistical inference to recognize and interpret trends, patterns, and factors, while identifying opportunities and risks.

• Create forecasts, regression models, what-if scenarios, and recommendations that support strategic and tactical planning as well as operational decision-making.

• Oversee the development of dashboards, visualizations, and reports for monitoring business performance, automating processes wherever feasible.

• Effectively communicate insights to business leaders and colleagues.

• Collaborate with enterprise analytics and information management teams to address business requirements for data models, views, and data accessibility.

• Generate business-specific workflows and data models utilizing enterprise analytics and data management tools, including integration with approved external data sources.

• Develop prototype models that integrate large datasets across multiple domains for other analysts to utilize.

• Identify machine learning opportunities and work alongside Data Scientists to deliver business value.

• Contribute to data inventory management and stewardship, metadata management, data profiling, data quality improvement, and data cleansing efforts.

• Uphold standards for data security and privacy, data management, data quality, and data governance.

⛳️ Requirements

• Bachelor’s degree in statistics, analytics, mathematics, economics, computer science, or a related field; or equivalent professional experience.

• A minimum of 6 years of demonstrated experience in data analytics, including querying and analyzing operational and/or financial data, generating insights, and effectively communicating these with colleagues and leadership.

• Previous experience successfully leading analytics projects in one or more of the following areas: Financial Management and Forecasting, Risk Assessment, Insurance Utilization and Pricing, Supply Chain Optimization, Retail Management, eCommerce Management, Consumer Behavior Analysis, Marketing Optimization, or Healthcare Management.

• Proficient in constructing complex data queries using SQL to join, filter, cleanse, and aggregate data; understanding how no/low-code applications apply SQL concepts similarly.

• Skilled in designing data workflows and business-oriented data models utilizing relational database structures.

• Competent in visualization and dashboard design techniques to develop interfaces that monitor business performance against KPIs and highlight trends and patterns.

• Experienced with data exploration and analysis platforms such as PowerBI, Cognos Analytics, Tableau, SAS, or similar tools.

• Background in applying statistical modeling to assess complex business challenges and create forecasting and what-if scenarios.

• Possesses strategic thinking, business acumen, and a curiosity to envision opportunities, document requirements, and collaborate for successful results.

• Capable of mentoring others to enhance the collective skills of the team.

• Familiarity with Data Science techniques and experience using notebooks (e.g., Jupyter) with programming languages such as Python and R.

• Exceptional written and verbal communication, presentation, and analytical skills.

• For remote (i.e., Work From Home (WFH)) or hybrid (i.e., partial onsite at a VSP location and WFH) roles, candidates must exhibit a high level of engagement in virtual environments, including maintaining camera presence during meetings to facilitate effective communication and team alignment.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Retirement savings plan with company match.

• Generous paid time off and flexible work arrangements.

• Opportunities for professional development and training.

• Collaborative and innovative work environment.